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睡眠时长与非酒精性脂肪性肝病的关联

欧夏娴 李闵涛 吕筠 孙点剑一 马圆 满塞丽麦 尹建春 王波 余灿清 李立明

欧夏娴, 李闵涛, 吕筠, 孙点剑一, 马圆, 满塞丽麦, 尹建春, 王波, 余灿清, 李立明. 睡眠时长与非酒精性脂肪性肝病的关联[J]. 中华疾病控制杂志, 2023, 27(1): 47-52. doi: 10.16462/j.cnki.zhjbkz.2023.01.009
引用本文: 欧夏娴, 李闵涛, 吕筠, 孙点剑一, 马圆, 满塞丽麦, 尹建春, 王波, 余灿清, 李立明. 睡眠时长与非酒精性脂肪性肝病的关联[J]. 中华疾病控制杂志, 2023, 27(1): 47-52. doi: 10.16462/j.cnki.zhjbkz.2023.01.009
OU Xia-xian, LI Min-tao, LYU Jun, SUN Dian-jian-yi, MA yuan, MAN Sai-li-mai, YIN Jian-chun, WANG Bo, YU Can-qing, LI Li-ming. The association of sleep duration with non-alcoholic fatty liver disease[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(1): 47-52. doi: 10.16462/j.cnki.zhjbkz.2023.01.009
Citation: OU Xia-xian, LI Min-tao, LYU Jun, SUN Dian-jian-yi, MA yuan, MAN Sai-li-mai, YIN Jian-chun, WANG Bo, YU Can-qing, LI Li-ming. The association of sleep duration with non-alcoholic fatty liver disease[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(1): 47-52. doi: 10.16462/j.cnki.zhjbkz.2023.01.009

睡眠时长与非酒精性脂肪性肝病的关联

doi: 10.16462/j.cnki.zhjbkz.2023.01.009
基金项目: 

国家自然科学基金 91846303

国家自然科学基金 81941018

详细信息
    通讯作者:

    王波,E-mail:paul@meinianresearch.com

    余灿清,E-mail:yucanqing@pku.edu.cn

  • 中图分类号: R575.5

The association of sleep duration with non-alcoholic fatty liver disease

Funds: 

National Natural Science Foundation of China 91846303

National Natural Science Foundation of China 81941018

More Information
  • 摘要:   目的  基于2008-2018年北京市城区年龄≥18岁人群的体检资料,探究睡眠时长与非酒精性脂肪性肝病(non-alcoholic fatty liver disease,NAFLD)之间的关联。  方法  利用北京美兆体检中心2008-2018年体检资料,采取横断面调查研究,采用多变量logistic回归分析模型探究睡眠时长与NAFLD患病之间的关联,并进一步分析不同亚人群中睡眠时长与NAFLD的关联。  结果  共纳入77 697名体检对象,年龄为(40.7±11.7)岁,短睡眠时长(< 6 h)与长睡眠时长(≥8 h)分别占12.7%与7.0%,NAFLD的超声检出率为37.6%。调整潜在混杂因素后,短睡眠时长和长睡眠时长与正常睡眠时长的体检对象相比患有NAFLD的OR值分别为1.08(95% CI: 1.03~1.14,P=0.003)和0.88(95% CI: 0.82~0.95,P < 0.001),且短睡眠时长与NAFLD的关联在男性(P交互 < 0.05)及18~ < 30岁、30~ < 40岁的人群中(P交互 < 0.001)更为显著;进一步调整BMI后,发现睡眠时长与NAFLD的关联无统计学意义(P > 0.05)。  结论  睡眠时长与NAFLD风险有关,尤其在男性和年轻人中;BMI在睡眠时长与NAFLD的关系中起重要作用。
  • 表  1  不同睡眠时长的体检对象基本特征[n(%)]

    Table  1.   Basic characteristics of participants with different sleep duration [n(%)]

    变量 短睡眠时长 正常睡眠时长 长睡眠时长
    男性 5 321(54.0) 34 533(55.4) 2 490(45.7)
    年龄(岁)
        18~ < 30 1 051(10.7) 12 316(19.7) 1 295(23.8)
        30~ < 40 2 181(22.1) 20 504(33.0) 1 887(34.6)
        40~ < 50 2 729(27.7) 17 119(27.4) 1 256(23.0)
        ≥50 3 899(39.5) 12 347(19.8) 1 013(18.6)
    教育水平
        高中及以下 1 920(19.5) 6 036(9.7) 806(14.8)
        大中专或本科 6 147(62.3) 37 752(60.5) 3 246(59.5)
        硕士及以上 1 793(18.2) 18 598(29.8) 1 399(25.7)
    吸烟 2 708(27.5) 14 883(23.9) 1 221(22.4)
    饮酒 2 739(27.8) 14 830(23.8) 1 105(20.3)
    运动量
        低 3 655(37.1) 23 796(38.1) 2 313(42.4)
        中 2 456(24.9) 17 370(27.8) 1 419(26.0)
        高 3 749(38.0) 21 220(34.0) 1 719(31.5)
    BMI(kg/m2)
        正常 4 337(44.0) 32 838(52.6) 3 235(59.4)
        超重 3 801(38.5) 21 468(34.4) 1 638(30.0)
        肥胖 1 722(17.5) 8 080(13.0) 578(10.6)
    失眠症状 7 103(72.0) 33 442(53.6) 2 593(47.6)
    高血压 2 274(23.1) 9 254(14.8) 712(13.1)
    糖尿病 1 086(11.0) 3 781(6.1) 328(6.0)
    血脂异常 3 133(31.8) 16 711(26.8) 1 360(24.9)
    高血肌酐 163(1.7) 965(1.5) 84(1.5)
    高尿酸 1 969(20.0) 11 312(18.1) 859(15.8)
    注:除高血肌酐这一项的P值为0.452外,其余P值均 < 0.001。
    下载: 导出CSV

    表  2  睡眠时长与NAFLD的多因素logistic回归分析模型

    Table  2.   Multivariate logistic regression analysis of sleep duration and risk of NAFLD

    变量 OR(95% CI)值 P趋势
    短睡眠时长 正常睡眠时长 长睡眠时长 每增加1 h
    人数(n) 9 860 62 386 5 451
    NAFLD检出率(%) 44.4 37.0 32.0
    模型1 1.11(1.06~1.17) 1.00 0.92(0.86~0.98) 0.93(0.92~0.95) < 0.001
    模型2 1.10(1.05~1.16) 1.00 0.91(0.85~0.97) 0.94(0.92~0.95) < 0.001
    模型3 1.08(1.03~1.14) 1.00 0.88(0.82~0.95) 0.93(0.92~0.95) < 0.001
    模型3+BMI 0.97(0.91~1.02) 1.00 0.97(0.90~1.05) 0.99(0.97~1.01) 0.443
    注:模型1调整了性别、年龄、教育水平;模型2进一步调整了吸烟、饮酒、运动量;模型3增加了失眠症状、高血压、糖尿病、血脂异常、血肌酐、血尿酸变量。
    下载: 导出CSV

    表  3  睡眠时长与其他变量对NAFLD的交互作用分析

    Table  3.   Analysis of the interaction between sleep duration and other variables on the risk of NAFLD

    变量 人数(n) 短睡眠时长 长睡眠时长 P交互
    OR (95% CI)值 OR (95% CI)值
    性别 0.049
        男 42 344 1.11 (1.04~1.19) 0.90 (0.83~0.99)
        女 35 353 0.97 (0.90~1.06) 0.92 (0.82~1.03)
    年龄(岁) < 0.001
        18~ < 30 14 662 1.37 (1.14~1.64) 0.92 (0.75~1.12)
        30~ < 40 24 672 1.22 (1.09~1.36) 0.89 (0.78~1.00)
        40~ < 50 21 104 1.09 (0.99~1.19) 0.88 (0.77~1.01)
        ≥50 17 259 0.90 (0.84~0.98) 0.99 (0.86~1.13)
    吸烟 0.074
        不吸烟 58 885 1.08 (1.01~1.14) 0.89 (0.82~0.97)
        吸烟 18 812 1.05 (0.96~1.16) 0.89 (0.78~1.01)
    饮酒 0.107
        不饮酒 59 023 1.08 (1.02~1.15) 0.88 (0.81~0.96)
        饮酒 18 674 1.06 (0.97~1.17) 0.89 (0.78~1.03)
    运动量 0.280
        低 29 764 1.08 (0.99~1.18) 0.82 (0.73~0.92)
        中 21 245 1.09 (0.98~1.20) 0.98 (0.86~1.13)
        高 26 688 1.06 (0.98~1.15) 0.88 (0.78~0.99)
    失眠症状 0.534
        无 34 559 1.13 (1.03~1.24) 0.91 (0.83~1.00)
        有 43 138 1.04 (0.98~1.11) 0.86 (0.77~0.95)
    注:在多变量模型(模型3)的基础上进行分析,模型调整了性别、年龄、教育水平、吸烟、饮酒、运动量、失眠症状、高血压、糖尿病、血脂异常、血肌酐、血尿酸变量。
    下载: 导出CSV
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  • 收稿日期:  2022-01-28
  • 修回日期:  2022-06-13
  • 网络出版日期:  2023-02-09
  • 刊出日期:  2023-01-10

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